Evaluation of AI model explainability:
While we have shown three methods for explainable AI at graph, subgraph, and tensor-state granularity levels, we have not done quality evaluations of AI model explainability via model parameter and data randomization tests [1]}. It remains to be demonstrated how illustrated tensor-states, utilization patterns in subgraphs, and utilization distributions in multiclass prediction models actually reflect a true explanation of the traffic sign prediction.
